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ORCIDMartin Schulz 0001
Person information
- affiliation: Technical University Munich, Germany
- affiliation (former): Lawrence Livermore National Laboratory, Computer Science Group
Other persons with the same name
- Martin Schulz 0002 — German Graduate School of Management and Law
- Martin Schulz 0003 — RWTH Aachen, Department of Computer Science
- Martin Schulz 0004 — University of British Columbia, Faculty of Commerce & Business Administration
- Martin Schulz 0005 — science + computing ag (and 1 more)
- Martin Schulz 0006 — Infineon Technologies, Warstein, German
- Martin Schulz 0007 — Philipps-Universität Marburg, Faculty of Geography, Marburg, Germany
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Books and Theses
- 2001
[b1]Martin Schulz:
Shared memory programming on NUMA-based clusters using a general and open hybrid hardware, software Approach. Technical University Munich, Germany, Shaker 2001, pp. 1-206
Journal Articles
- 2022
- [j43]Martin Schulz
, Martin Ruefenacht, Dieter Kranzlmüller, Laura Brandon Schulz:
Accelerating HPC With Quantum Computing: It Is a Software Challenge Too. Comput. Sci. Eng. 24(4): 60-64 (2022) - [j42]Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36(2): 251-285 (2022) - [j41]Alessio Netti, Michael Ott, Carla Guillén, Daniele Tafani, Martin Schulz:
Operational Data Analytics in practice: Experiences from design to deployment in production HPC environments. Parallel Comput. 113: 102950 (2022) - 2021
- [j40]Dominik Huber, Martin Schreiber, Martin Schulz:
Graph-based multi-core higher-order time integration of linear autonomous partial differential equations. J. Comput. Sci. 53: 101349 (2021) - [j39]Benjamin Zanger, Christian B. Mendl, Martin Schulz, Martin Schreiber:
Quantum Algorithms for Solving Ordinary Differential Equations via Classical Integration Methods. Quantum 5: 502 (2021) - [j38]Shinobu Miwa, Ignacio Laguna, Martin Schulz:
PredCom: A Predictive Approach to Collecting Approximated Communication Traces. IEEE Trans. Parallel Distributed Syst. 32(1): 45-58 (2021) - [j37]Martin Schulz, Kento Sato:
Guest Editorial: Special Issue on Computing Frontiers. J. Signal Process. Syst. 93(4): 389-390 (2021) - 2020
- [j36]David E. Bernholdt, Swen Boehm, George Bosilca, Manjunath Gorentla Venkata, Ryan E. Grant, Thomas J. Naughton, Howard Pritchard, Martin Schulz, Geoffroy R. Vallée:
A survey of MPI usage in the US exascale computing project. Concurr. Comput. Pract. Exp. 32(3) (2020) - [j35]Sourav Chakraborty, Ignacio Laguna, Murali Emani, Kathryn M. Mohror, Dhabaleswar K. Panda, Martin Schulz, Hari Subramoni:
EReinit: Scalable and efficient fault-tolerance for bulk-synchronous MPI applications. Concurr. Comput. Pract. Exp. 32(3) (2020) - [j34]Bengisu Elis, Dai Yang, Olga Pearce, Kathryn M. Mohror, Martin Schulz:
QMPI: A next generation MPI profiling interface for modern HPC platforms. Parallel Comput. 96: 102635 (2020) - [j33]Shinobu Miwa, Masaya Ishihara, Hayato Yamaki, Hiroki Honda, Martin Schulz:
Footprint-Based DIMM Hotplug. IEEE Trans. Computers 69(2): 172-184 (2020) - 2019
- [j32]Kento Sato, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau, Simone Atzeni, Michael Bentley, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Geof Sawaya, Joachim Protze, Dong H. Ahn:
Pruners. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [j31]Marc-André Hermanns, Nathan T. Hjelm, Michael Knobloch, Kathryn M. Mohror, Martin Schulz:
The MPI_T events interface: An early evaluation and overview of the interface. Parallel Comput. 85: 119-130 (2019) - 2018
- [j30]Alfredo Giménez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, Bernd Hamann:
MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors. IEEE Trans. Vis. Comput. Graph. 24(7): 2180-2193 (2018) - 2016
- [j29]Tanzima Z. Islam, Kathryn M. Mohror, Martin Schulz:
Exploring the MPI tool information interface: features and capabilities. Int. J. High Perform. Comput. Appl. 30(2): 212-222 (2016) - [j28]Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, Kathryn M. Mohror, Howard Pritchard:
Evaluating and extending user-level fault tolerance in MPI applications. Int. J. High Perform. Comput. Appl. 30(3): 305-319 (2016) - [j27]Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
Ordering Traces Logically to Identify Lateness in Message Passing Programs. IEEE Trans. Parallel Distributed Syst. 27(3): 829-840 (2016) - [j26]Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz:
Exploiting Redundancy and Application Scalability for Cost-Effective, Time-Constrained Execution of HPC Applications on Amazon EC2. IEEE Trans. Parallel Distributed Syst. 27(9): 2574-2588 (2016) - 2015
- [j25]Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Martin Schulz, Saurabh Bagchi, Milind Kulkarni, Bowen Zhou, Zhezhe Chen, Feng Qin:
Debugging high-performance computing applications at massive scales. Commun. ACM 58(9): 72-81 (2015) - [j24]Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz, Todd Gamblin, Holger Brunst:
Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022). Dagstuhl Manifestos 5(1): 1-24 (2015) - 2014
- [j23]Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars:
Enabling fair pricing on high performance computer systems with node sharing. Sci. Program. 22(2): 59-74 (2014) - [j22]Katherine E. Isaacs, Peer-Timo Bremer, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann:
Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. IEEE Trans. Vis. Comput. Graph. 20(12): 2349-2358 (2014) - 2013
- [j21]Barry Rountree, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, David K. Lowenthal, Guy Cobb, Henry M. Tufo:
Parallelizing heavyweight debugging tools with mpiecho. Parallel Comput. 39(3): 156-166 (2013) - [j20]Joshua D. Goehner, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz:
LIBI: A framework for bootstrapping extreme scale software systems. Parallel Comput. 39(3): 167-176 (2013) - [j19]Tobias Hilbrich, Joachim Protze, Martin Schulz, Bronis R. de Supinski, Matthias S. Müller:
MPI runtime error detection with MUST: Advances in deadlock detection. Sci. Program. 21(3-4): 109-121 (2013) - [j18]Stephen L. Olivier, Bronis R. de Supinski, Martin Schulz, Jan F. Prins:
Characterizing and mitigating work time inflation in task parallel programs. Sci. Program. 21(3-4): 123-136 (2013) - [j17]Dong Li, Bronis R. de Supinski, Martin Schulz, Dimitrios S. Nikolopoulos, Kirk W. Cameron:
Strategies for Energy-Efficient Resource Management of Hybrid Programming Models. IEEE Trans. Parallel Distributed Syst. 24(1): 144-157 (2013) - 2012
- [j16]Aaditya G. Landge, Joshua A. Levine, Abhinav Bhatele, Katherine E. Isaacs, Todd Gamblin, Martin Schulz, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci:
Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Trans. Vis. Comput. Graph. 18(12): 2467-2476 (2012) - 2011
- [j15]Ganesh Gopalakrishnan, Robert M. Kirby, Stephen F. Siegel, Rajeev Thakur, William Gropp, Ewing L. Lusk, Bronis R. de Supinski, Martin Schulz, Greg Bronevetsky:
Formal analysis of MPI-based parallel programs. Commun. ACM 54(12): 82-91 (2011) - 2010
- [j14]Robert Preissl, Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski, Daniel J. Quinlan:
Transforming MPI source code based on communication patterns. Future Gener. Comput. Syst. 26(1): 147-154 (2010) - 2009
- [j13]Michael Noeth, Prasun Ratn, Frank Mueller, Martin Schulz, Bronis R. de Supinski:
ScalaTrace: Scalable compression and replay of communication traces for high-performance computing. J. Parallel Distributed Comput. 69(8): 696-710 (2009) - 2008
- [j12]Bronis R. de Supinski, Martin Schulz, Vasily V. Bulatov, William H. Cabot, Bor Chan, Andrew W. Cook, Erik W. Draeger, James N. Glosli, Jeffrey A. Greenough, Keith W. Henderson, Alison Kubota, Steve Louis, Brian J. Miller, Mehul V. Patel, Thomas E. Spelce, Frederick H. Streitz, Peter L. Williams, Robert K. Yates, Andy Yoo, George Almási, Gyan Bhanot, Alan Gara, John A. Gunnels, Manish Gupta, José E. Moreira, James C. Sexton, Robert Walkup, Charles Archer, François Gygi, Timothy C. Germann, Kai Kadau, Peter S. Lomdahl, Charles A. Rendleman, Michael L. Welcome, William McLendon, Bruce Hendrickson, Franz Franchetti, Stefan Kral, Juergen Lorenz, Christoph W. Überhuber, Edmond Chow, Ümit V. Çatalyürek:
BlueGene/L applications: Parallelism On a Massive Scale. Int. J. High Perform. Comput. Appl. 22(1): 33-51 (2008) - [j11]Martin Schulz, Jim Galarowicz, Don Maghrak, William Hachfeld, David Montoya, Scott Cranford:
Open | SpeedShop: An open source infrastructure for parallel performance analysis. Sci. Program. 16(2-3): 105-121 (2008) - [j10]Engin Ipek, Sally A. McKee, Karan Singh, Rich Caruana, Bronis R. de Supinski, Martin Schulz:
Efficient architectural design space exploration via predictive modeling. ACM Trans. Archit. Code Optim. 4(4): 1:1-1:34 (2008) - 2007
- [j9]Karan Singh, Engin Ipek, Sally A. McKee, Bronis R. de Supinski, Martin Schulz, Rich Caruana:
Predicting parallel application performance via machine learning approaches. Concurr. Comput. Pract. Exp. 19(17): 2219-2235 (2007) - [j8]Gregory L. Lee, Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Barry Rountree:
Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems. Int. J. Parallel Program. 35(3): 207-232 (2007) - 2005
- [j7]Thomas Brandes, Helmut Schwamborn, Michael Gerndt, Jürgen Jeitner, Edmond Kereku, Martin Schulz, Holger Brunst, Wolfgang E. Nagel, Reinhard Neumann, Ralph Müller-Pfefferkorn, Bernd Trenkler, Wolfgang Karl, Jie Tao, Hans-Christian Hoppe:
Monitoring cache behavior on parallel SMP architectures and related programming tools. Future Gener. Comput. Syst. 21(8): 1298-1311 (2005) - [j6]Jie Tao, Martin Schulz, Wolfgang Karl:
Simulation as a tool for optimizing memory accesses on NUMA machines. Perform. Evaluation 60(1-4): 31-50 (2005) - [j5]Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Gregory L. Lee, Barry Rountree:
Scalable dynamic binary instrumentation for Blue Gene/L. SIGARCH Comput. Archit. News 33(5): 9-14 (2005) - 2003
- [j4]Martin Schulz, Jie Tao, Carsten Trinitis, Wolfgang Karl:
SMiLE: an integrated, multi-paradigm software infrastructure for SCI-basedclusters. Future Gener. Comput. Syst. 19(4): 521-532 (2003) - [j3]Jie Tao, Martin Schulz, Wolfgang Karl:
ARS: an adaptive runtime system for locality optimization. Future Gener. Comput. Syst. 19(5): 761-776 (2003) - [j2]Martin Schulz:
Pathways of Relevance: Exploring Inflows of Knowledge into Subunits of Multinational Corporations. Organ. Sci. 14(4): 440-459 (2003) - 2002
- [j1]Jie Tao, Wolfgang Karl, Martin Schulz:
Memory access behavior analysis of NUMA-based shared memory programs. Sci. Program. 10(1): 45-53 (2002)
Conference and Workshop Papers
- 2024
- [c247]Bengisu Elis, Olga Pearce, David Böhme, Jason Burmark, Martin Schulz:
Non-Blocking GPU-CPU Notifications to Enable More GPU-CPU Parallelism. HPC Asia 2024: 1-11 - [c246]Vincent Bode, Carsten Trinitis, Martin Schulz, David Buettner, Tobias Preclik:
Adopting User-Space Networking for DDS Message-Oriented Middleware. PerCom 2024: 36-46 - 2023
- [c245]David Hildenbrand, Martin Schulz, Nadav Amit:
Copy-on-Pin: The Missing Piece for Correct Copy-on-Write. ASPLOS (2) 2023: 176-191 - [c244]Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz:
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. CLUSTER 2023: 185-196 - [c243]Xiaorang Guo, Martin Schulz:
A Scalable and Cross-Technology Quantum Control Processor. FPL 2023: 353-354 - [c242]Xiaorang Guo, Kun Qin, Martin Schulz:
HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits. ICCD 2023: 86-93 - [c241]Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois Knoll:
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. IJCNN 2023: 1-10 - [c240]Vincent Bode, David Buettner, Tobias Preclik, Carsten Trinitis, Martin Schulz:
Systematic Analysis of DDS Implementations. Middleware 2023: 234-246 - [c239]Philipp Seitz, Amr Elsharkawy, Xiao-Ting Michelle To, Martin Schulz:
Toward a Unified Hybrid HPCQC Toolchain. QCE 2023: 96-102 - [c238]Hossam Ahmed, Xiaolong Deng, Helmut Heller, Carla Guillén, Asim Zulfiqar, Martin Ruefenacht, Amit Jamadagni, Matthew Tovey, Martin Schulz, Laura Brandon Schulz:
Quantum Computer Metrics and HPC Center Environmental Sensor Data Analysis Towards Fidelity Prediction. QCE 2023: 154-160 - [c237]Martin Schulz, Laura Brandon Schulz, Martin Ruefenacht, Robert Wille:
Towards the Munich Quantum Software Stack: Enabling Efficient Access and Tool Support for Quantum Computers. QCE 2023: 399-400 - [c236]Amr Elsharkawy, Xiao-Ting Michelle To, Philipp Seitz, Yanbin Chen, Yannick Stade, Manuel Geiger, Qunsheng Huang, Xiaorang Guo, Muhammad Arslan Ansari, Martin Ruefenacht, Laura Brandon Schulz, Sven Karlsson, Christian B. Mendl, Dieter Kranzlmüller, Martin Schulz:
Challenges in HPCQC Integration. QCE 2023: 405-406 - [c235]Jonas Winklmann, Dimitrios Tsevas, Martin Schulz:
Realistic Neutral Atom Image Simulation. QCE 2023: 1349-1359 - [c234]Vincent Bode, Carsten Trinitis, Martin Schulz, David Buettner, Tobias Preclik:
DDS Implementations as Real-Time Middleware - A Systematic Evaluation. RTCSA 2023: 186-195 - [c233]Soumya Sen, Stepan Vanecek, Martin Schulz:
GPUscout: Locating Data Movement-related Bottlenecks on GPUs. SC Workshops 2023: 1392-1402 - [c232]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. SC Workshops 2023: 1876-1880 - [c231]Dominik Huber, Martin Schreiber, Martin Schulz:
A Case Study on PMIx-Usage for Dynamic Resource Management. ISC Workshops 2023: 42-55 - [c230]Isaías Comprés, Eishi Arima, Martin Schulz, Tiberiu Rotaru, Rui Machado:
Probabilistic Job History Conversion and Performance Model Generation for Malleable Scheduling Simulations. ISC Workshops 2023: 82-94 - [c229]Amir Raoofy, Roman Karlstetter, Martin Schreiber, Carsten Trinitis, Martin Schulz:
Overcoming Weak Scaling Challenges in Tree-Based Nearest Neighbor Time Series Mining. ISC 2023: 317-338 - [c228]Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud:
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. WOSC@Middleware 2023: 18-23 - 2022
- [c227]Karlo Kraljic, Daniel Kerger, Martin Schulz:
Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems. ARCS 2022: 3-16 - [c226]Issa Saba, Eishi Arima, Dai Liu, Martin Schulz:
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning. ARCS 2022: 51-67 - [c225]Roman Karlstetter, Robert Josef Widhopf-Fenk, Martin Schulz:
Querying Distributed Sensor Streams in the Edge-to-Cloud Continuum. EDGE 2022: 192-197 - [c224]Maron Schlemon, Martin Schulz, Rolf Scheiber:
Resource-Constrained Optimizations For Synthetic Aperture Radar On-Board Image Processing. HPEC 2022: 1-8 - [c223]Eishi Arima, Minjoon Kang, Issa Saba, Josef Weidendorfer, Carsten Trinitis, Martin Schulz:
Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps. ICPP Workshops 2022: 9:1-9:10 - [c222]Yi Ju, Amir Raoofy, Dai Yang, Erwin Laure, Martin Schulz:
Exploiting Reduced Precision for GPU-based Time Series Mining. IPDPS 2022: 124-134 - [c221]Dominik Huber, Maximilian Streubel, Isaías Comprés, Martin Schulz, Martin Schreiber, Howard Pritchard:
Towards Dynamic Resource Management with MPI Sessions and PMIx. EuroMPI 2022: 57-67 - [c220]Jan Fecht, Martin Schreiber, Martin Schulz, Howard Pritchard, Daniel J. Holmes:
An Emulation Layer for Dynamic Resources with MPI Sessions. ISC Workshops 2022: 147-161 - [c219]Eishi Arima, Isaías Comprés, Martin Schulz:
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems. ISC Workshops 2022: 206-217 - 2021
- [c218]Roman Karlstetter, Amir Raoofy, Martin Radev, Carsten Trinitis, Jakob Hermann, Martin Schulz:
Living on the Edge: Efficient Handling of Large Scale Sensor Data. CCGRID 2021: 1-10 - [c217]Martin Schulz, Dieter Kranzlmüller, Laura Brandon Schulz, Carsten Trinitis, Josef Weidendorfer:
On the Inevitability of Integrated HPC Systems and How they will Change HPC System Operations. HEART 2021: 2:1-2:6 - [c216]Alessio Netti, Daniele Tafani, Michael Ott, Martin Schulz:
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data. IPDPS 2021: 2-12 - [c215]Martin Kronbichler, Niklas Fehn, Peter Munch, Maximilian Bergbauer, Karl-Robert Wichmann, Carolin Geitner, Momme Allalen, Martin Schulz, Wolfgang A. Wall:
A next-generation discontinuous galerkin fluid dynamics solver with application to high-resolution lung airflow simulations. SC 2021: 21 - [c214]David Hildenbrand, Martin Schulz:
virtio-mem: paravirtualized memory hot(un)plug. VEE 2021: 1-14 - [c213]Alexis Engelke, Dominik Okwieka, Martin Schulz:
Efficient LLVM-based dynamic binary translation. VEE 2021: 165-171 - 2020
- [c212]Alessio Netti, Micha Müller, Carla Guillén, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz:
DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems. HPDC 2020: 101-112 - [c211]Dominik Huber, Martin Schreiber, Dai Yang, Martin Schulz:
Cache-Aware Matrix Polynomials. ICCS (1) 2020: 132-146 - [c210]Ilkay Altintas, Dorian C. Arnold, Martin Schulz, Matthew G. F. Dosanjh, Ryan E. Grant, Taylor L. Groves:
Workshop 16: SNACS Scalable Networks for Advanced Computing Systems. IPDPS Workshops 2020: 868 - [c209]Amir Raoofy, Roman Karlstetter, Dai Yang, Carsten Trinitis, Martin Schulz:
Time Series Mining at Petascale Performance. ISC 2020: 104-123 - [c208]Gence Ozer, Alessio Netti, Daniele Tafani, Martin Schulz:
Characterizing HPC Performance Variation with Monitoring and Unsupervised Learning. ISC Workshops 2020: 280-292 - [c207]Eishi Arima, Toshihiro Hanawa, Carsten Trinitis, Martin Schulz:
Footprint-Aware Power Capping for Hybrid Memory Based Systems. ISC 2020: 347-369 - [c206]Eishi Arima, Martin Schulz:
Pattern-Aware Staging for Hybrid Memory Systems. ISC 2020: 474-495 - [c205]Alexis Engelke, Martin Schulz:
Instrew: leveraging LLVM for high performance dynamic binary instrumentation. VEE 2020: 172-184 - 2019
- [c204]Alvaro Frank, Dai Yang, André Brinkmann, Martin Schulz, Tim Süß:
Reducing False Node Failure Predictions in HPC. HiPC 2019: 323-332 - [c203]Dimitrios Chasapis, Miquel Moretó, Martin Schulz, Barry Rountree, Mateo Valero, Marc Casas:
Power efficient job scheduling by predicting the impact of processor manufacturing variability. ICS 2019: 296-307 - [c202]Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele:
Optimizing computation-communication overlap in asynchronous task-based programs. ICS 2019: 380-391 - [c201]Giorgis Georgakoudis, Ignacio Laguna, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Martin Schulz:
SAFIRE: Scalable and Accurate Fault Injection for Parallel Multithreaded Applications. IPDPS 2019: 890-899 - [c200]Dai Yang, Tilman Küstner, Rami G. Al Rihawi, Martin Schulz:
Exploring High Bandwidth Memory for PET Image Reconstruction. PARCO 2019: 219-228 - [c199]Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moretó, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele:
Optimizing computation-communication overlap in asynchronous task-based programs: poster. PPoPP 2019: 415-416 - [c198]Bengisu Elis, Dai Yang, Martin Schulz:
QMPI: a next generation MPI profiling interface for modern HPC platforms. EuroMPI 2019: 4:1-4:10 - [c197]David Jauk, Dai Yang, Martin Schulz:
Predicting faults in high performance computing systems: an in-depth survey of the state-of-the-practice. SC 2019: 30:1-30:13 - [c196]Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz:
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - [c195]Alessio Netti, Micha Müller, Axel Auweter, Carla Guillén, Michael Ott, Daniele Tafani, Martin Schulz:
From facility to application sensor data: modular, continuous and holistic monitoring with DCDB. SC 2019: 64:1-64:27 - 2018
- [c194]Koji Inoue, Takuya Araki, Takumi Maruyama, Pritish Narayanan, Takashi Oshima, Martin Schulz:
Panel discussions: "Challenges to the scaling limits: How can we achieve sustainable power-performance improvements?". COOL CHIPS 2018: 1-2 - [c193]Thomas Becker, Dai Yang, Tilman Küstner, Martin Schulz:
Co-Scheduling in a Task-Based Programming Model. COSH@HiPEAC 2018: 9-14 - [c192]Joachim Protze, Martin Schulz, Dong H. Ahn, Matthias S. Müller:
Thread-local concurrency: a technique to handle data race detection at programming model abstraction. HPDC 2018: 144-155 - [c191]Kevin A. Brown, Nikhil Jain, Satoshi Matsuoka, Martin Schulz, Abhinav Bhatele:
Interference between I/O and MPI Traffic on Fat-tree Networks. ICPP 2018: 7:1-7:10 - [c190]Ryuichi Sakamoto, Tapasya Patki, Thang Cao, Masaaki Kondo, Koji Inoue, Masatsugu Ueda, Daniel A. Ellsworth, Barry Rountree, Martin Schulz:
Analyzing Resource Trade-offs in Hardware Overprovisioned Supercomputers. IPDPS 2018: 526-535 - [c189]Marc-André Hermanns, Nathan T. Hjelm, Michael Knobloch, Kathryn M. Mohror, Martin Schulz:
Enabling callback-driven runtime introspection via MPI_T. EuroMPI 2018: 8:1-8:10 - [c188]Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz:
FlipTracker: understanding natural error resilience in HPC applications. SC 2018: 8:1-8:14 - 2017
- [c187]David Böhme, David Beckingsale, Martin Schulz:
Flexible Data Aggregation for Performance Profiling. CLUSTER 2017: 419-428 - [c186]Ayush Patwari, Ignacio Laguna, Martin Schulz, Saurabh Bagchi:
Understanding the Spatial Characteristics of DRAM Errors in HPC Clusters. FTXS@HPDC 2017: 17-22 - [c185]Kevin A. Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn M. Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger A. Pearce, Maya B. Gokhale, Satoshi Matsuoka:
Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration). ICDCS Workshops 2017: 343-347 - [c184]Matthias Maiterth, Torsten Wilde, David K. Lowenthal, Barry Rountree, Martin Schulz, Jonathan Eastep, Dieter Kranzlmiiller:
Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers - Survey & Tutorial. HPCS 2017: 3-10 - [c183]Ryuichi Sakamoto, Thang Cao, Masaaki Kondo, Koji Inoue, Masatsugu Ueda, Tapasya Patki, Daniel A. Ellsworth, Barry Rountree, Martin Schulz:
Production Hardware Overprovisioning: Real-World Performance Optimization Using an Extensible Power-Aware Resource Management Framework. IPDPS 2017: 957-966 - [c182]Joachim Protze, Jonas Hahnfeld, Dong H. Ahn, Martin Schulz, Matthias S. Müller:
OpenMP Tools Interface: Synchronization Information for Data Race Detection. IWOMP 2017: 249-265 - [c181]Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau:
Noise Injection Techniques to Expose Subtle and Unintended Message Races. PPoPP 2017: 89-101 - [c180]Daniel A. Ellsworth, Tapasya Patki, Martin Schulz, Barry Rountree, Allen D. Malony:
Simulating Power Scheduling at Scale. E2SC@SC 2017: 2:1-2:8 - [c179]Giorgis Georgakoudis, Ignacio Laguna, Dimitrios S. Nikolopoulos, Martin Schulz:
REFINE: realistic fault injection via compiler-based instrumentation for accuracy, portability and speed. SC 2017: 29 - [c178]Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz:
ScrubJay: deriving knowledge from the disarray of HPC performance data. SC 2017: 35 - 2016
- [c177]Ignacio Laguna, Martin Schulz, David F. Richards, Jon Calhoun, Luke N. Olson:
IPAS: intelligent protection against silent output corruption in scientific applications. CGO 2016: 227-238 - [c176]Alexandru Calotoiu, David Beckingsale, Christopher W. Earl, Torsten Hoefler, Ian Karlin, Martin Schulz, Felix Wolf:
Fast Multi-parameter Performance Modeling. CLUSTER 2016: 172-181 - [c175]Dimitrios Chasapis, Marc Casas, Miquel Moretó, Martin Schulz, Eduard Ayguadé, Jesús Labarta, Mateo Valero:
Runtime-Guided Mitigation of Manufacturing Variability in Power-Constrained Multi-Socket NUMA Nodes. ICS 2016: 5:1-5:12 - [c174]Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Gregory L. Lee, Joachim Protze, Matthias S. Müller:
ARCHER: Effectively Spotting Data Races in Large OpenMP Applications. IPDPS 2016: 53-62 - [c173]Matthias Weber, Ronny Brendel, Tobias Hilbrich, Kathryn M. Mohror, Martin Schulz, Holger Brunst:
Structural Clustering: A New Approach to Support Performance Analysis at Scale. IPDPS 2016: 484-493 - [c172]Lee Savoie, David K. Lowenthal, Bronis R. de Supinski, Tanzima Z. Islam, Kathryn M. Mohror, Barry Rountree, Martin Schulz:
I/O Aware Power Shifting. IPDPS 2016: 740-749 - [c171]Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato:
MPMD Framework for Offloading Load Balance Computation. IPDPS 2016: 943-952 - [c170]Daniel A. Ellsworth, Tapasya Patki, Swann Perarnau, Sangmin Seo, Abdelhalim Amer, Judicael A. Zounmevo, Rinku Gupta, Kazutomo Yoshii, Henry Hoffmann, Allen D. Malony, Martin Schulz, Peter H. Beckman:
Systemwide Power Management with Argo. IPDPS Workshops 2016: 1118-1121 - [c169]Matthias Maiterth, Martin Schulz, Dieter Kranzlmüller, Barry Rountree:
Power Balancing in an Emulated Exascale Environment. IPDPS Workshops 2016: 1142-1149 - [c168]Joachim Protze, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Matthias S. Müller:
Testing Infrastructure for OpenMP Debugging Interface Implementations. IWOMP 2016: 205-216 - [c167]Daniel J. Holmes, Kathryn M. Mohror, Ryan E. Grant, Anthony Skjellum, Martin Schulz, Wesley Bland, Jeffrey M. Squyres:
MPI Sessions: Leveraging Runtime Infrastructure to Increase Scalability of Applications at Exascale. EuroMPI 2016: 121-129 - [c166]Søren Rasmussen, Martin Schulz, Kathryn M. Mohror:
Allowing MPI tools builders to forget about Fortran. EuroMPI 2016: 208-211 - [c165]Tapasya Patki, David K. Lowenthal, Barry L. Rountree, Martin Schulz, Bronis R. de Supinski:
Economic Viability of Hardware Overprovisioning in Power-Constrained High Performance Computing. E2SC@SC 2016: 8-15 - [c164]Hormozd Gahvari, Veselin A. Dobrev, Robert D. Falgout, Tzanio V. Kolev, Jacob B. Schroder, Martin Schulz, Ulrike Meier Yang:
A Performance Model for Allocating the Parallelism in a Multigrid-in-Time Solver. PMBS@SC 2016: 22-31 - [c163]Daniel A. Ellsworth, Tapasya Patki, Martin Schulz, Barry Rountree, Allen D. Malony:
A Unified Platform for Exploring Power Management Strategies. E2SC@SC 2016: 24-30 - [c162]Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Böhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer:
VIPACT: A Visualization Interface for Analyzing Calling Context Trees. VPA@SC 2016: 25-28 - [c161]Sandra Wienke, Julian Miller, Martin Schulz, Matthias S. Müller:
Development effort estimation in HPC. SC 2016: 107-118 - [c160]Ignacio Laguna, Martin Schulz:
Pinpointing scale-dependent integer overflow bugs in large-scale parallel applications. SC 2016: 216-227 - [c159]Tanzima Z. Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin:
A machine learning framework for performance coverage analysis of proxy applications. SC 2016: 538-549 - [c158]David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz:
Caliper: performance introspection for HPC software stacks. SC 2016: 550-560 - 2015
- [c157]Hormozd Gahvari, Martin Schulz, Ulrike Meier Yang:
An Approach to Selecting Thread + Process Mixes for Hybrid MPI + OpenMP Applications. CLUSTER 2015: 418-427 - [c156]Swann Perarnau, Rajeev Thakur, Kamil Iskra, Ken Raffenetti, Franck Cappello, Rinku Gupta, Peter H. Beckman, Marc Snir, Henry Hoffmann, Martin Schulz, Barry Rountree:
Distributed Monitoring and Management of Exascale Systems in the Argo Project. DAIS 2015: 173-178 - [c155]Tobias Hilbrich, Martin Schulz, Holger Brunst, Joachim Protze, Bronis R. de Supinski, Matthias S. Müller:
Event-Action Mappings for Parallel Tools Infrastructures. Euro-Par 2015: 43-54 - [c154]Tapasya Patki, David K. Lowenthal, Anjana Sasidharan, Matthias Maiterth, Barry Rountree, Martin Schulz, Bronis R. de Supinski:
Practical Resource Management in Power-Constrained, High Performance Computing. HPDC 2015: 121-132 - [c153]Daniel A. Ellsworth, Allen D. Malony, Barry Rountree, Martin Schulz:
POW: System-wide Dynamic Reallocation of Limited Power in HPC. HPDC 2015: 145-148 - [c152]Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain, Todd Gamblin, Peer-Timo Bremer, Martin Schulz, Laxmikant V. Kalé:
Identifying the Culprits Behind Network Congestion. IPDPS 2015: 113-122 - [c151]Nicklas Bo Jensen, Niklas Quarfot Nielsen, Gregory L. Lee, Sven Karlsson, Matthew P. LeGendre, Martin Schulz, Dong H. Ahn:
A Scalable Prescriptive Parallel Debugging Model. IPDPS 2015: 473-483 - [c150]Ananta Tiwari, Martin Schulz, Laura Carrington:
Predicting Optimal Power Allocation for CPU and DRAM Domains. IPDPS Workshops 2015: 951-959 - [c149]Joachim Protze, Ignacio Laguna, Dong H. Ahn, John DelSignore, Ariel Burton, Martin Schulz, Matthias S. Müller:
Lessons Learned from Implementing OMPD: A Debugging Interface for OpenMP. IWOMP 2015: 89-101 - [c148]Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato:
Decoupled load balancing. PPoPP 2015: 267-268 - [c147]Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
Recovering logical structure from Charm++ event traces. SC 2015: 49:1-49:12 - [c146]Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz:
Clock delta compression for scalable order-replay of non-deterministic parallel applications. SC 2015: 62:1-62:12 - [c145]Yuichi Inadomi, Tapasya Patki, Koji Inoue, Mutsumi Aoyagi, Barry Rountree, Martin Schulz, David K. Lowenthal, Yasutaka Wada, Keiichiro Fukazawa, Masatsugu Ueda, Masaaki Kondo, Ikuo Miyoshi:
Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing. SC 2015: 78:1-78:12 - [c144]Peter E. Bailey, Aniruddha Marathe, David K. Lowenthal, Barry Rountree, Martin Schulz:
Finding the limits of power-constrained application performance. SC 2015: 79:1-79:12 - [c143]Daniel A. Ellsworth, Allen D. Malony, Barry Rountree, Martin Schulz:
Dynamic power sharing for higher job throughput. SC 2015: 80:1-80:11 - [c142]Aniruddha Marathe, Peter E. Bailey, David K. Lowenthal, Barry Rountree, Martin Schulz, Bronis R. de Supinski:
A Run-Time System for Power-Constrained HPC Applications. ISC 2015: 394-408 - 2014
- [c141]Tobias Hilbrich, Joachim Protze, Michael Wagner, Matthias S. Müller, Martin Schulz, Bronis R. de Supinski, Wolfgang E. Nagel:
Memory Usage Optimizations for Online Event Analysis. EASC 2014: 110-121 - [c140]Ananta Tiwari, Anthony Gamst, Michael A. Laurenzano, Martin Schulz, Laura Carrington:
Modeling the Impact of Reduced Memory Bandwidth on HPC Applications. Euro-Par 2014: 63-74 - [c139]Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz:
Exploiting redundancy for cost-effective, time-constrained execution of HPC applications on amazon EC2. HPDC 2014: 279-290 - [c138]Peter E. Bailey, David K. Lowenthal, Vignesh Ravi, Barry Rountree, Martin Schulz, Bronis R. de Supinski:
Adaptive Configuration Selection for Power-Constrained Heterogeneous Systems. ICPP 2014: 371-380 - [c137]Dong H. Ahn, Jim Garlick, Mark Grondona, Don Lipari, Becky Springmeyer, Martin Schulz:
Flux: A Next-Generation Resource Management Framework for Large HPC Centers. ICPP Workshops 2014: 9-17 - [c136]Joachim Protze, Tobias Hilbrich, Martin Schulz, Bronis R. de Supinski, Wolfgang E. Nagel, Matthias S. Müller:
MPI Runtime Error Detection with MUST: A Scalable and Crash-Safe Approach. ICPP Workshops 2014: 206-215 - [c135]Jae-Seung Yeom, Abhinav Bhatele, Keith R. Bisset, Eric J. Bohm, Abhishek Gupta, Laxmikant V. Kalé, Madhav V. Marathe, Dimitrios S. Nikolopoulos, Martin Schulz, Lukasz Wesolowski:
Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters. IPDPS 2014: 755-764 - [c134]Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin:
Accurate application progress analysis for large-scale parallel debugging. PLDI 2014: 193-203 - [c133]Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann:
Extracting logical structure and identifying stragglers in parallel execution traces. PPoPP 2014: 397-398 - [c132]Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz, Bronis R. de Supinski:
Evaluating User-Level Fault Tolerance for MPI Applications. EuroMPI/ASIA 2014: 57 - [c131]Tanzima Z. Islam, Kathryn M. Mohror, Martin Schulz:
Exploring the Capabilities of the New MPI_T Interface. EuroMPI/ASIA 2014: 91 - [c130]Hormozd Gahvari, William Gropp, Kirk E. Jordan, Martin Schulz, Ulrike Meier Yang:
Algebraic Multigrid on a Dragonfly Network: First Experiences on a Cray XC30. PMBS@SC 2014: 3-23 - [c129]Joachim Protze, Simone Atzeni, Dong H. Ahn, Martin Schulz, Ganesh Gopalakrishnan, Matthias S. Müller, Ignacio Laguna, Zvonimir Rakamaric, Gregory L. Lee:
Towards providing low-overhead data race detection for large OpenMP applications. LLVM@SC 2014: 40-47 - [c128]Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
State of the Art of Performance Visualization. EuroVis (STARs) 2014 - 2013
- [c127]Matthias Weber, Kathryn M. Mohror, Martin Schulz, Bronis R. de Supinski, Holger Brunst, Wolfgang E. Nagel:
Alignment-Based Metrics for Trace Comparison. Euro-Par 2013: 29-40 - [c126]Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz, Xin Yuan:
A comparative study of high-performance computing on the cloud. HPDC 2013: 239-250 - [c125]Tobias Hilbrich, Joachim Protze, Bronis R. de Supinski, Martin Schulz, Matthias S. Müller, Wolfgang E. Nagel:
Intralayer Communication for Tree-Based Overlay Networks. ICPP 2013: 995-1003 - [c124]Tapasya Patki, David K. Lowenthal, Barry Rountree, Martin Schulz, Bronis R. de Supinski:
Exploring hardware overprovisioning in power-constrained, high performance computing. ICS 2013: 173-182 - [c123]Dong H. Ahn, Michael J. Brim, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Matthew P. LeGendre, Barton P. Miller, Adam Moody, Martin Schulz:
Efficient and Scalable Retrieval Techniques for Global File Properties. IPDPS 2013: 369-380 - [c122]Ian Karlin, Abhinav Bhatele, Jeff Keasler, Bradford L. Chamberlain, Jonathan D. Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David F. Richards, Martin Schulz, Charles H. Still:
Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application. IPDPS 2013: 919-932 - [c121]Hormozd Gahvari, William Gropp, Kirk E. Jordan, Martin Schulz, Ulrike Meier Yang:
Systematic Reduction of Data Movement in Algebraic Multigrid Solvers. IPDPS Workshops 2013: 1675-1682 - [c120]Alexandre E. Eichenberger, John M. Mellor-Crummey, Martin Schulz, Michael Wong, Nawal Copty, Robert Dietrich, Xu Liu, Eugene Loh, Daniel Lorenz:
OMPT: An OpenMP Tools Application Programming Interface for Performance Analysis. IWOMP 2013: 171-185 - [c119]Martin Schulz, James F. Belak, Abhinav Bhatele, Peer-Timo Bremer, Greg Bronevetsky, Marc Casas, Todd Gamblin, Katherine E. Isaacs, Ignacio Laguna, Joshua A. Levine, Valerio Pascucci, David F. Richards, Barry Rountree:
Performance Analysis Techniques for the Exascale Co-Design Process. PARCO 2013: 19-32 - [c118]Tobias Hilbrich, Bronis R. de Supinski, Fabian Hänsel, Matthias S. Müller, Martin Schulz, Wolfgang E. Nagel:
Runtime MPI collective checking with tree-based overlay networks. EuroMPI 2013: 129-134 - [c117]Ignacio Laguna, Edgar A. León, Martin Schulz, Mark Stephenson:
A study of application-level recovery methods for transient network faults. ScalA@SC 2013: 3:1-3:8 - [c116]Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars:
Enabling fair pricing on HPC systems with node sharing. SC 2013: 37:1-37:12 - [c115]Dong H. Ahn, Gregory L. Lee, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Martin Schulz, Ignacio Laguna:
Overcoming extreme-scale reproducibility challenges through a unified, targeted, and multilevel toolset. SE-HPCCSE@SC 2013: 41-44 - 2012
- [c114]Hormozd Gahvari, William Gropp, Kirk E. Jordan, Martin Schulz, Ulrike Meier Yang:
Modeling the Performance of an Algebraic Multigrid Cycle Using Hybrid MPI/OpenMP. ICPP 2012: 128-137 - [c113]Chen-Han Ho, Marc de Kruijf, Karthikeyan Sankaralingam, Barry Rountree, Martin Schulz, Bronis R. de Supinski:
Mechanisms and Evaluation of Cross-Layer Fault-Tolerance for Supercomputing. ICPP 2012: 510-519 - [c112]Marc Casas-Guix, Bronis R. de Supinski, Greg Bronevetsky, Martin Schulz:
Fault resilience of the algebraic multi-grid solver. ICS 2012: 91-100 - [c111]Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato:
Quantifying the effectiveness of load balance algorithms. ICS 2012: 185-194 - [c110]Barry Rountree, Dong H. Ahn, Bronis R. de Supinski, David K. Lowenthal, Martin Schulz:
Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound. IPDPS Workshops 2012: 947-953 - [c109]David Böhme, Felix Wolf, Bronis R. de Supinski, Martin Schulz, Markus Geimer:
Scalable Critical-Path Based Performance Analysis. IPDPS 2012: 1330-1340 - [c108]Tobias Hilbrich, Matthias S. Müller, Bronis R. de Supinski, Martin Schulz, Wolfgang E. Nagel:
GTI: A Generic Tools Infrastructure for Event-Based Tools in Parallel Systems. IPDPS 2012: 1364-1375 - [c107]Spyros Lyberis, Polyvios Pratikakis, Dimitrios S. Nikolopoulos, Martin Schulz, Todd Gamblin, Bronis R. de Supinski:
The myrmics memory allocator: hierarchical, message-passing allocation for global address spaces. ISMM 2012: 15-24 - [c106]Joachim Protze, Tobias Hilbrich, Bronis R. de Supinski, Martin Schulz, Matthias S. Müller, Wolfgang E. Nagel:
MPI Runtime Error Detection with MUST: Advanced Error Reports. Parallel Tools Workshop 2012: 25-38 - [c105]Tobias Hilbrich, Joachim Protze, Martin Schulz, Bronis R. de Supinski, Matthias S. Müller:
MPI runtime error detection with MUST: advances in deadlock detection. SC 2012: 30 - [c104]Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann:
Novel views of performance data to analyze large-scale adaptive applications. SC 2012: 31 - [c103]Stephen Olivier, Bronis R. de Supinski, Martin Schulz, Jan F. Prins:
Characterizing and mitigating work time inflation in task parallel programs. SC 2012: 65 - [c102]Martin Schindewolf, Barna L. Bihari, John C. Gyllenhaal, Martin Schulz, Amy Wang, Wolfgang Karl:
What scientific applications can benefit from hardware transactional memory? SC 2012: 90 - [c101]Abhinav Bhatele, Todd Gamblin, Steve H. Langer, Peer-Timo Bremer, Erik W. Draeger, Bernd Hamann, Katherine E. Isaacs, Aaditya G. Landge, Joshua A. Levine, Valerio Pascucci, Martin Schulz, Charles H. Still:
Mapping applications with collectives over sub-communicators on torus networks. SC 2012: 97 - [c100]Hormozd Gahvari, William Gropp, Kirk E. Jordan, Martin Schulz, Ulrike Meier Yang:
Performance Modeling of Algebraic Multigrid on Blue Gene/Q: Lessons Learned. SC Companion 2012: 377-385 - 2011
- [c99]Anh Vo, Ganesh Gopalakrishnan, Robert M. Kirby, Bronis R. de Supinski, Martin Schulz, Greg Bronevetsky:
Large Scale Verification of MPI Programs Using Lamport Clocks with Lazy Update. PACT 2011: 330-339 - [c98]Dong Li, Kirk W. Cameron, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz:
Scalable memory registration for high performance networks using helper threads. Conf. Computing Frontiers 2011: 38 - [c97]Barry Rountree, David K. Lowenthal, Martin Schulz, Bronis R. de Supinski:
Practical performance prediction under Dynamic Voltage Frequency Scaling. IGCC 2011: 1-8 - [c96]Martin Schulz, Joshua A. Levine, Peer-Timo Bremer, Todd Gamblin, Valerio Pascucci:
Interpreting Performance Data across Intuitive Domains. ICPP 2011: 206-215 - [c95]Hormozd Gahvari, Allison H. Baker, Martin Schulz, Ulrike Meier Yang, Kirk E. Jordan, William Gropp:
Modeling the performance of an algebraic multigrid cycle on HPC platforms. ICS 2011: 172-181 - [c94]Susmit Biswas, Bronis R. de Supinski, Martin Schulz, Diana Franklin, Timothy Sherwood, Frederic T. Chong:
Exploiting Data Similarity to Reduce Memory Footprints. IPDPS 2011: 152-163 - [c93]Allison H. Baker, Todd Gamblin, Martin Schulz, Ulrike Meier Yang:
Challenges of Scaling Algebraic Multigrid Across Modern Multicore Architectures. IPDPS 2011: 275-286 - [c92]Zoltán Szebenyi, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, Felix Wolf, Brian J. N. Wylie:
Reconciling Sampling and Direct Instrumentation for Unintrusive Call-Path Profiling of MPI Programs. IPDPS 2011: 640-651 - [c91]Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine E. Isaacs, Joshua A. Levine, Valerio Pascucci:
Creating a Tool Set for Optimizing Topology-Aware Node Mappings. Parallel Tools Workshop 2011: 1-12 - [c90]Tobias Hilbrich, Matthias S. Müller, Martin Schulz, Bronis R. de Supinski:
Order Preserving Event Aggregation in TBONs. EuroMPI 2011: 19-28 - [c89]Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, Barry Rountree:
Large scale debugging of parallel tasks with AutomaDeD. SC 2011: 50:1-50:10 - 2010
- [c88]Allison H. Baker, Robert D. Falgout, Todd Gamblin, Tzanio V. Kolev, Martin Schulz, Ulrike Meier Yang:
Scaling Algebraic Multigrid Solvers: On the Road to Exascale. CHPC 2010: 215-226 - [c87]Greg Bronevetsky, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn, Martin Schulz:
AutomaDeD: Automata-based debugging for dissimilar parallel tasks. DSN 2010: 231-240 - [c86]Karan Singh, Matthew Curtis-Maury, Sally A. McKee, Filip Blagojevic, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz:
Comparing Scalability Prediction Strategies on an SMP of CMPs. Euro-Par (1) 2010: 143-155 - [c85]Robert Preissl, Bronis R. de Supinski, Martin Schulz, Daniel J. Quinlan, Dieter Kranzlmüller, Thomas Panas:
Exploitation of Dynamic Communication Patterns through Static Analysis. ICPP 2010: 51-60 - [c84]Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed:
Clustering performance data efficiently at massive scales. ICS 2010: 243-252 - [c83]Bradley J. Barnes, Jeonifer Garren, David K. Lowenthal, Jaxk Reeves, Bronis R. de Supinski, Martin Schulz, Barry Rountree:
Using focused regression for accurate time-constrained scaling of scientific applications. IPDPS 2010: 1-12 - [c82]Dong Li, Dimitrios S. Nikolopoulos, Kirk W. Cameron, Bronis R. de Supinski, Martin Schulz:
Power-aware MPI task aggregation prediction for high-end computing systems. IPDPS 2010: 1-12 - [c81]Dong Li, Bronis R. de Supinski, Martin Schulz, Kirk W. Cameron, Dimitrios S. Nikolopoulos:
Hybrid MPI/OpenMP power-aware computing. IPDPS 2010: 1-12 - [c80]Frank Mueller, Xing Wu, Martin Schulz, Bronis R. de Supinski, Todd Gamblin:
ScalaTrace: Tracing, Analysis and Modeling of HPC Codes at Scale. PARA (2) 2010: 410-418 - [c79]Anh Vo, Sriram Aananthakrishnan, Ganesh Gopalakrishnan, Bronis R. de Supinski, Martin Schulz, Greg Bronevetsky:
A Scalable and Distributed Dynamic Formal Verifier for MPI Programs. SC 2010: 1-10 - [c78]Allison H. Baker, Martin Schulz, Ulrike Meier Yang:
On the Performance of an Algebraic Multigrid Solver on Multicore Clusters. VECPAR 2010: 102-115 - 2009
- [c77]Tobias Hilbrich, Bronis R. de Supinski, Martin Schulz, Matthias S. Müller:
A graph based approach for MPI deadlock detection. ICS 2009: 296-305 - [c76]Barry Rountree, David K. Lowenthal, Bronis R. de Supinski, Martin Schulz, Vincent W. Freeh, Tyler K. Bletsch:
Adagio: making DVS practical for complex HPC applications. ICS 2009: 460-469 - [c75]Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Schulz, Bronis R. de Supinski, Sally A. McKee:
Machine learning based online performance prediction for runtime parallelization and task scheduling. ISPASS 2009: 89-100 - [c74]Susmit Biswas, Diana Franklin, Timothy Sherwood, Frederic T. Chong, Bronis R. de Supinski, Martin Schulz:
PSMalloc: content based memory management for MPI applications. MEDEA@PACT 2009: 43-48 - [c73]Tobias Hilbrich, Martin Schulz, Bronis R. de Supinski, Matthias S. Müller:
MUST: A Scalable Approach to Runtime Error Detection in MPI Programs. Parallel Tools Workshop 2009: 53-66 - [c72]Carsten Trinitis, Michael Bader, Martin Schulz:
8th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments. PVM/MPI 2009: 292-293 - [c71]Dong H. Ahn, Bronis R. de Supinski, Ignacio Laguna, Gregory L. Lee, Ben Liblit, Barton P. Miller, Martin Schulz:
Scalable temporal order analysis for large scale debugging. SC 2009 - 2008
- [c70]Matthew Curtis-Maury, Ankur Shah, Filip Blagojevic, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz:
Prediction models for multi-dimensional power-performance optimization on many cores. PACT 2008: 250-259 - [c69]Francisco Almeida, Michael Gerndt, Adolfy Hoisie, Martin Schulz:
Topic 2: Performance Prediction and Evaluation. Euro-Par 2008: 89 - [c68]Robert Preissl, Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski, Daniel J. Quinlan:
Using MPI Communication Patterns to Guide Source Code Transformations. ICCS (3) 2008: 253-260 - [c67]Robert Preissl, Thomas Köckerbauer, Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski, Daniel J. Quinlan:
Detecting Patterns in MPI Communication Traces. ICPP 2008: 230-237 - [c66]Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz:
Overcoming Scalability Challenges for Tool Daemon Launching. ICPP 2008: 578-585 - [c65]Prasun Ratn, Frank Mueller, Bronis R. de Supinski, Martin Schulz:
Preserving time in large-scale communication traces. ICS 2008: 46-55 - [c64]Bradley J. Barnes, Barry Rountree, David K. Lowenthal, Jaxk Reeves, Bronis R. de Supinski, Martin Schulz:
A regression-based approach to scalability prediction. ICS 2008: 368-377 - [c63]Martin Schulz, Greg Bronevetsky, Bronis R. de Supinski:
On the Performance of Transparent MPI Piggyback Messages. PVM/MPI 2008: 194-201 - [c62]Carsten Trinitis, Martin Schulz:
7th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments: New Directions and Work-in-Progress (ParSim 2008). PVM/MPI 2008: 283-284 - [c61]Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz, Ben Liblit:
Lessons learned at 208K: towards debugging millions of cores. SC 2008: 26 - [c60]Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed:
Scalable load-balance measurement for SPMD codes. SC 2008: 46 - 2007
- [c59]Matthew Curtis-Maury, Karan Singh, Sally A. McKee, Filip Blagojevic, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz:
Identifying energy-efficient concurrency levels using machine learning. CLUSTER 2007: 488-495 - [c58]Martin Schulz, Bronis R. de Supinski:
Practical Differential Profiling. Euro-Par 2007: 97-106 - [c57]Dorian C. Arnold, Dong H. Ahn, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz:
Stack Trace Analysis for Large Scale Debugging. IPDPS 2007: 1-10 - [c56]Michael Noeth, Frank Mueller, Martin Schulz, Bronis R. de Supinski:
Scalable Compression and Replay of Communication Traces in Massively P arallel E nvironments. IPDPS 2007: 1-11 - [c55]Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Barton P. Miller, Martin Schulz:
Benchmarking the Stack Trace Analysis Tool for BlueGene/L. PARCO 2007: 621-628 - [c54]Benjamin C. Lee, David M. Brooks, Bronis R. de Supinski, Martin Schulz, Karan Singh, Sally A. McKee:
Methods of inference and learning for performance modeling of parallel applications. PPoPP 2007: 249-258 - [c53]Carsten Trinitis, Martin Schulz:
6th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments New Directions and Work-in-Progress ParSim 2007. PVM/MPI 2007: 354-355 - [c52]Martin Schulz, Bronis R. de Supinski:
PNMPI tools: a whole lot greater than the sum of their parts. SC 2007: 30 - [c51]Barry Rountree, David K. Lowenthal, Shelby H. Funk, Vincent W. Freeh, Bronis R. de Supinski, Martin Schulz:
Bounding energy consumption in large-scale MPI programs. SC 2007: 49 - 2006
- [c50]Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R. de Supinski, Martin Schulz:
Efficiently exploring architectural design spaces via predictive modeling. ASPLOS 2006: 195-206 - [c49]Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski:
Exploring Unexpected Behavior in MPI. HPCC 2006: 843-852 - [c48]Martin Schulz, Bronis R. de Supinski:
A Flexible and Dynamic Infrastructure for MPI Tool Interoperability. ICPP 2006: 193-202 - [c47]Engin Ipek, José F. Martínez, Bronis R. de Supinski, Sally A. McKee, Martin Schulz:
Dynamic program phase detection in distributed shared-memory multiprocessors. IPDPS 2006 - [c46]Richard W. Vuduc, Martin Schulz, Daniel J. Quinlan, Bronis R. de Supinski, Andreas Sæbjørnsen:
Improving distributed memory applications testing by message perturbation. PADTAD 2006: 27-36 - [c45]Carsten Trinitis, Martin Schulz:
5th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments. PVM/MPI 2006: 356-357 - [c44]François Gygi, Erik W. Draeger, Martin Schulz, Bronis R. de Supinski, John A. Gunnels, Vernon Austel, James C. Sexton, Franz Franchetti, Stefan Kral, Christoph W. Ueberhuber, Juergen Lorenz:
Gordon Bell finalists I - Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform. SC 2006: 45 - [c43]Michael Noeth, Jaydeep Marathe, Frank Mueller, Martin Schulz, Bronis R. de Supinski:
Poster reception - Scalable compression and replay of communication traces in massively parallel environments. SC 2006: 144 - [c42]Bernhard Aichinger, Martin Schulz, Dieter Kranzlmüller, Thomas Köckerbauer, Bronis R. de Supinski:
Poster reception - Patterns in parallel programs: toward high-level understanding of large-scale traces. SC 2006: 176 - 2005
- [c41]Martin Schulz, Brian S. White, Sally A. McKee, Hsien-Hsin S. Lee, Jürgen Jeitner:
Owl: next generation system monitoring. Conf. Computing Frontiers 2005: 116-124 - [c40]Engin Ipek, Bronis R. de Supinski, Martin Schulz, Sally A. McKee:
An Approach to Performance Prediction for Parallel Applications. Euro-Par 2005: 196-205 - [c39]Martin Schulz, John May, John C. Gyllenhaal:
DynTG: A Tool for Interactive, Dynamic Instrumentation. International Conference on Computational Science (2) 2005: 140-148 - [c38]Brian S. White, Sally A. McKee, Bronis R. de Supinski, Brian Miller, Daniel J. Quinlan, Martin Schulz:
Improving the computational intensity of unstructured mesh applications. ICS 2005: 341-350 - [c37]Martin Schulz, Carsten Trinitis:
4th International Special Session on: Current Trends in Numerical Simulation for Parallel Engineering Environments ParSim 2005. PVM/MPI 2005: 502-503 - 2004
- [c36]Peter K. Szwed, Daniel Marques, Robert M. Buels, Sally A. McKee, Martin Schulz:
SimSnap: Fast-Forwarding via Native Execution and Application-Level Checkpointing. Interaction between Compilers and Computer Architectures 2004: 65-74 - [c35]Greg Bronevetsky, Daniel Marques, Keshav Pingali, Peter K. Szwed, Martin Schulz:
Application-level checkpointing for shared memory programs. ASPLOS 2004: 235-247 - [c34]Carsten Trinitis, Martin Schulz:
Current Trends in Numerical Simulation for Parallel Engineering Environments. ParSim 2004. PVM/MPI 2004: 415-416 - [c33]Martin Schulz, Greg Bronevetsky, Rohit Fernandes, Daniel Marques, Keshav Pingali, Paul Stodghill:
Implementation and Evaluation of a Scalable Application-Level Checkpoint-Recovery Scheme for MPI Programs. SC 2004: 38 - [c32]Jie Tao, Martin Schulz, Wolfgang Karl:
SIMT/OMP: A Toolset to Study and Exploit Memory Locality of OpenMP Applications on NUMA Architectures. WOMPAT 2004: 41-52 - 2003
- [c31]Jie Tao, Martin Schulz, Wolfgang Karl:
A Simulation Tool for Evaluating Shared Memory Systems. Annual Simulation Symposium 2003: 335-342 - [c30]Ed Wheelhouse, Carsten Trinitis, Martin Schulz:
CAD Grid: Corporate-Wide Resource Sharing for Parameter Studies. Euro-Par 2003: 433-440 - [c29]Martin Schulz, Sally A. McKee:
A Framework for Portable Shared Memory Programming. IPDPS 2003: 54 - [c28]Carsten Trinitis, Martin Schulz:
Special Session of EuroPVM/MPI 2003: Current Trends in Numerical Simulation for Parallel Engineering Environments - ParSim 2003. PVM/MPI 2003: 661-662 - [c27]Tushar Mohan, Bronis R. de Supinski, Sally A. McKee, Frank Mueller, Andy Yoo, Martin Schulz:
Identifying and Exploiting Spatial Regularity in Data Memory References. SC 2003: 49 - [c26]Tao Mu, Jie Tao, Martin Schulz, Sally A. McKee:
Interactive Locality Optimization on NUMA Architectures. SOFTVIS 2003: 133-141 - 2002
- [c25]Martin Schulz, Jie Tao, Carsten Trinitis, Wolfgang Karl:
SMiLE: An Integrated, Multi-Paradigm Software Infrastructure for SCI-Based Clusters. CCGRID 2002: 247-254 - [c24]Martin Schulz:
Overcoming the Problems Associated with the Existence of Too Many DSM APIs. CCGRID 2002: 319-324 - [c23]Martin Schulz:
Using Semantic Information to Guide Efficient Parallel I/O on Clusters. HPDC 2002: 135-142 - [c22]Jie Tao, Martin Schulz, Wolfgang Karl:
Improving Data Locality Using Dynamic Page Migration Based on Memory Access Histograms. International Conference on Computational Science (2) 2002: 933-942 - [c21]Martin Schulz, Jie Tao, Jürgen Jeitner, Wolfgang Karl:
A proposal for a new hardware cache monitoring architecture. MSP/ISMM 2002: 76-85 - [c20]Carsten Trinitis, Martin Schulz, Wolfgang Karl:
Boosting the Performance of Electromagnetic Simulations on a PC-Cluster. PARELEC 2002: 369-374 - [c19]Michael Gerndt, Andreas Schmidt, Martin Schulz, Roland Wismüller:
Performance Analysis for Teraflop Computers: A Distributed Automatic Approach. PDP 2002: 23-30 - [c18]Carsten Trinitis, Martin Schulz:
Current Trends in Numerical Simulation for Parallel Engineering Environments. PVM/MPI 2002: 61 - [c17]Carsten Trinitis, Martin Schulz, Wolfgang Karl:
A Comprehensive Electric Field Simulation Environment on Top of SCI. PVM/MPI 2002: 114-121 - [c16]Dieter Kranzlmüller, Martin Schulz:
Notes on Nondeterminism in Message Passing Programs. PVM/MPI 2002: 357-367 - 2001
- [c15]Wolfgang Karl, Martin Schulz, Martin Völk, Sibylle Ziegler:
Meeting the Computational Demands of Nuclear Medical Imaging Using Commodity Clusters. International Conference on Computational Science (2) 2001: 27-36 - [c14]Jie Tao, Wolfgang Karl, Martin Schulz:
Visualizing the Memory Access Behavior of Shared Memory Applications on NUMA Architectures. International Conference on Computational Science (2) 2001: 861-870 - [c13]Carsten Trinitis, Martin Schulz, Michael Eberl, Wolfgang Karl:
SCI-Based LINUX PC-Clusters as a Platform for Electromagnetic Field Calculations. PaCT 2001: 510-514 - [c12]Martin Schulz:
Parallel Volume Rendering based on Isosurface Extraction using Commodity Clusters. VIIP 2001: 157-162 - 2000
- [c11]Martin Schulz:
Multithreaded Programming of PC Clusters. IEEE PACT 2000: 271-280 - [c10]Wolfgang Karl, Martin Schulz, Jörg Trinitis:
Multilayer Online-Monitoring for Hybrid DSM Systems on Top of PC Clusters with a SMiLE. Computer Performance Evaluation / TOOLS 2000: 294-308 - [c9]Wolfgang Karl, Martin Schulz, Martin Völk, Sibylle Ziegler:
NEPHEW: Applying a Toolset for the Efficient Deployment of a Medical Image Application on SCI-Based Clusters. Euro-Par 2000: 851-860 - [c8]Jie Tao, Wolfgang Karl, Martin Schulz:
Using the SMiLE Monitoring Infrastructure to Detect and Lower the Inefficiency of Parallel Applications. HPCN Europe 2000: 270-279 - [c7]Martin Schulz:
Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS 2000). IPDPS Workshops 2000: 257-260 - 1999
- [c6]Wolfgang Karl, Markus Leberecht, Martin Schulz:
Optimizing Data Locality for SCI-Based PC-Clusters with the SmiLE Monitoring Approach. IEEE PACT 1999: 169-176 - [c5]Wolfgang Karl, Markus Leberecht, Martin Schulz:
Supporting Shared Memory and Message Passing on Clusters of PCs with a SMiLE. CANPC 1999: 196-210 - [c4]Martin Schulz:
SCI-VM: A Flexible Base for Transparent Shared Memory Programming Models on Clusters of PCs. IPPS/SPDP Workshops 1999: 19-33 - [c3]Martin Schulz:
True Shared Memory Programming on SCI-Based Clusters. Scalable Coherent Interface 1999: 291-311 - 1998
- [c2]Martin Schulz:
SISCI-Pthreads, SMP-like programming on an SCI-cluster. HPCN Europe 1998: 566-575 - 1997
- [c1]Xingbin Zhang, Ali Dasdan, Martin Schulz, Rajesh K. Gupta, Andrew A. Chien:
Architectural Adaptation for Application-Specific Locality Optimization. ICCD 1997: 150-156
Editorship
- 2022
- [e9]Martin Schulz, Carsten Trinitis, Nikela Papadopoulou, Thilo Pionteck:
Architecture of Computing Systems - 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022, Proceedings. Lecture Notes in Computer Science 13642, Springer 2022, ISBN 978-3-031-21866-8 [contents] - 2019
- [e8]Francesca Palumbo, Michela Becchi, Martin Schulz, Kento Sato:
Proceedings of the 16th ACM International Conference on Computing Frontiers, CF 2019, Alghero, Italy, April 30 - May 2, 2019. ACM 2019, ISBN 978-1-4503-6685-4 [contents] - [e7]Abhinav Bhatele, David Böhme, Joshua A. Levine, Allen D. Malony, Martin Schulz:
Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Denver, CO, USA, November 12 and 17, 2017, and ESPT 2018 and VPA 2018, Dallas, TX, USA, November 16 and 11, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11027, Springer 2019, ISBN 978-3-030-17871-0 [contents] - 2017
- [e6]Jens Knoop, Wolfgang Karl, Martin Schulz, Koji Inoue, Thilo Pionteck:
Architecture of Computing Systems - ARCS 2017 - 30th International Conference, Vienna, Austria, April 3-6, 2017, Proceedings. Lecture Notes in Computer Science 10172, Springer 2017, ISBN 978-3-319-54998-9 [contents] - 2015
- [e5]Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz:
Proceedings of the 2nd Workshop on Visual Performance Analysis, VPA 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-4013-7 [contents] - 2014
- [e4]Dieter an Mey, Michael Alexander, Paolo Bientinesi, Mario Cannataro, Carsten Clauss, Alexandru Costan, Gabor Kecskemeti, Christine Morin, Laura Ricci, Julio Sahuquillo, Martin Schulz, Vittorio Scarano, Stephen L. Scott, Josef Weidendorfer:
Euro-Par 2013: Parallel Processing Workshops - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, August 26-27, 2013. Revised Selected Papers. Lecture Notes in Computer Science 8374, Springer 2014, ISBN 978-3-642-54419-4 [contents] - [e3]Arndt Bode, Michael Gerndt, Per Stenström, Lawrence Rauchwerger, Barton P. Miller, Martin Schulz:
2014 International Conference on Supercomputing, ICS'14, Muenchen, Germany, June 10-13, 2014. ACM 2014, ISBN 978-1-4503-2642-1 [contents] - [e2]Peer-Timo Bremer, Bernd Mohr, Martin Schulz, Valerio Pascucci:
Proceedings of the First Workshop on Visual Performance Analysis, VPA '14, New Orleans, Louisiana, USA, November 16-21, 2014. IEEE 2014, ISBN 978-1-4799-7058-2 [contents] - 2010
- [e1]Jesús Labarta, Barton P. Miller, Bernd Mohr, Martin Schulz:
Program Development for Extreme-Scale Computing, 02.05. - 07.05.2010. Dagstuhl Seminar Proceedings 10181, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2010 [contents]
Reference Works
- 2011
- [r1]Martin Schulz:
Checkpointing. Encyclopedia of Parallel Computing 2011: 264-273
Informal and Other Publications
- 2024
- [i19]Dominik Huber, Martin Schreiber, Martin Schulz, Howard Pritchard, Daniel J. Holmes:
Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models. CoRR abs/2403.17107 (2024) - 2023
- [i18]Xiaorang Guo, Kun Qin, Martin Schulz:
HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits. CoRR abs/2308.16776 (2023) - [i17]Philipp Seitz, Amr Elsharkawy, Xiao-Ting Michelle To, Martin Schulz:
Toward a Unified Hybrid HPCQC Toolchain. CoRR abs/2309.01661 (2023) - [i16]Amr Elsharkawy, Xiao-Ting Michelle To, Philipp Seitz, Yanbin Chen, Yannick Stade, Manuel Geiger, Qunsheng Huang, Xiaorang Guo, Muhammad Arslan Ansari, Christian B. Mendl, Dieter Kranzlmüller, Martin Schulz:
Integration of Quantum Accelerators with High Performance Computing - A Review of Quantum Programming Tools. CoRR abs/2309.06167 (2023) - [i15]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. CoRR abs/2309.13473 (2023) - [i14]Jonas Winklmann, Dimitrios Tsevas, Martin Schulz:
Realistic Neutral Atom Image Simulation. CoRR abs/2310.02836 (2023) - [i13]Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud:
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. CoRR abs/2310.20375 (2023) - [i12]Joseph K. L. Lee, Oliver T. Brown, Mark Bull, Martin Ruefenacht, Johannes Doerfert, Michael Klemm, Martin Schulz:
Quantum Task Offloading with the OpenMP API. CoRR abs/2311.03210 (2023) - 2022
- [i11]Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois C. Knoll:
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. CoRR abs/2208.11311 (2022) - 2021
- [i10]Alessio Netti, Michael Ott, Carla Guillén, Daniele Tafani, Martin Schulz:
Operational Data Analytics in Practice: Experiences from Design to Deployment in Production HPC Environments. CoRR abs/2106.14423 (2021) - [i9]Philip H. Carns, Julian M. Kunkel, Kathryn M. Mohror, Martin Schulz:
Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332). Dagstuhl Reports 11(7): 16-75 (2021) - 2020
- [i8]Alessio Netti, Daniele Tafani, Michael Ott, Martin Schulz:
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data. CoRR abs/2010.06186 (2020) - [i7]Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations. CoRR abs/2010.13342 (2020) - 2019
- [i6]Alessio Netti, Micha Mueller, Axel Auweter, Carla Guillén, Michael Ott, Daniele Tafani, Martin Schulz:
From Facility to Application Sensor Data: Modular, Continuous and Holistic Monitoring with DCDB. CoRR abs/1906.07509 (2019) - [i5]Alessio Netti, Micha Mueller, Carla Guillén, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz:
DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems. CoRR abs/1910.06156 (2019) - 2018
- [i4]Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz:
FlipTracker: Understanding Natural Error Resilience in HPC Applications. CoRR abs/1809.01362 (2018) - 2014
- [i3]Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz:
Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing (Dagstuhl Perspectives Workshop 14022). Dagstuhl Reports 4(1): 17-35 (2014) - 2010
- [i2]Jesús Labarta, Barton P. Miller, Bernd Mohr, Martin Schulz:
10181 Abstracts Collection - Program Development for Extreme-Scale Computing. Program Development for Extreme-Scale Computing 2010 - [i1]Jesús Labarta, Barton P. Miller, Bernd Mohr, Martin Schulz:
10181 Executive Summary - Program Development for Extreme-Scale Computing. Program Development for Extreme-Scale Computing 2010
Coauthor Index
Joachim Jenke
aka: Joachim Protze
aka: Joachim Protze
Barry Rountree
aka: Barry L. Rountree
aka: Barry L. Rountree
[j28] [j26] [j25] [j21] [j20] [j19] [j18] [j17] [j15] [j14] [j13] [j12] [j10] [j9] [j8] [j5] [c196] [c172] [c171] [c165] [c155] [c154] [c148] [c142] [c141] [c139] [c138] [c136] [c132] [c127] [c126] [c125] [c124] [c123] [c118] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c103] [c99] [c98] [c97] [c94] [c92] [c90] [c89] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c77] [c76] [c75] [c74] [c73] [c71] [c70] [c68] [c67] [c66] [c65] [c64] [c63] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c43] [c42] [c40] [c38] [c27]
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